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Mohit4022-cloud

Marketing Automation MCP Server

create_campaign_copy

Generate marketing campaign copy variants by specifying product details, target audience, tone, and copy type.

Instructions

Generate campaign copy variants through the configured AI provider or deterministic demo mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_nameYes
product_descriptionYes
target_audienceYes
toneYes
copy_typeYes
variants_countNo
keywordsNo
max_lengthNo
call_to_actionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNook
modeNolive
blocked_reasonNo
warningsNo
copy_generation_idYes
copy_typeYes
variantsYes
toneYes
target_audienceYes
keywords_usedYes
best_variant_idYes
generation_metadataYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It mentions two modes (AI provider and deterministic demo) but fails to disclose potential side effects, failure modes, authentication requirements, rate limits, or any constraints. This is a significant gap for a tool with no annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that efficiently communicates the core purpose and key behavioral distinction (two modes). There is no fluff; every word earns its place. The structure effectively front-loads the essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (9 parameters, 5 required) and the lack of schema descriptions and annotations, the description should provide more contextual guidance. Although an output schema exists (so return values need no explanation), the lack of parameter semantics and behavioral detail makes the description incomplete for an agent to use the tool confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, meaning no parameter documentation exists in the schema. The tool description does not provide any additional meaning for the 9 parameters (e.g., expected formats, examples, or relationships). The only hint comes from parameter titles, which is insufficient for correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('generate'), the resource ('campaign copy variants'), and the two operational modes (AI provider or deterministic demo mode). It distinguishes well from sibling tools like analyze_audience_segments, generate_campaign_report, and optimize_campaign_budget, which serve different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for generating copy, but it does not explicitly state when to use it versus alternatives. There is no guidance on prerequisites, exclusions, or conditions that would help an agent decide between this tool and others. The context suggests usage, but explicit guidelines are missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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